Social health and subsequent cognitive functioning in people aged 50 years and older: examining the mediating roles of depressive symptoms and inflammatory biomarkers in two European longitudinal studies.

BACKGROUND: Social health markers, including marital status, contact frequency, network size, and social support, have been shown to be associated with cognition. However, the mechanisms underlying these associations remain poorly understood. We investigated whether depressive symptoms and inflammation mediated associations between social health and subsequent cognition. METHODS: In the English Longitudinal Study of Ageing (ELSA), a nationally representative longitudinal study in England, UK, we sampled 7136 individuals aged 50 years or older living in private households without dementia at baseline or at the intermediate mediator assessment timepoint, who had recorded information on at least one social health marker and potential mediator. We used four-way decomposition to examine to what extent depressive symptoms, C-reactive protein, and fibrinogen mediated associations between social health and subsequent standardised cognition (verbal fluency and delayed and immediate recall), including cognitive change, with slopes derived from multilevel models (12-year slope). We examined whether findings were replicated in the Swedish National Study on Aging and Care in Kungsholmen (SNAC-K), a population-based longitudinal study in Sweden, in a sample of 2604 individuals aged 60 years or older living at home or in institutions in Kungsholmen (central Stockholm) without dementia at baseline or at the intermediate mediator assessment timepoint (6-year slope). Social health exposures were assessed at baseline, potential mediators were assessed at an intermediate timepoint (wave 2 in ELSA and 6-year follow-up in SNAC-K); cognitive outcomes were assessed at a single timepoint (wave 3 in ELSA and 12-year follow-up in SNAC-K), and cognitive change (between waves 3 and 9 in ELSA and between 6-year and 12-year follow-ups in SNAC-K). FINDINGS: The study sample included 7136 participants from ELSA, of whom 3962 (55·5%) were women and 6934 (97·2%) were White; the mean baseline age was 63·8 years (SD 9·4). Replication analyses included 2604 participants from SNAC-K, of whom 1604 (61·6%) were women (SNAC-K did not collect ethnicity data); the mean baseline age was 72·3 years (SD 10·1). In ELSA, we found indirect effects via depressive symptoms of network size, positive support, and less negative support on subsequent verbal fluency, and of positive support on subsequent immediate recall (pure indirect effect [PIE] 0·002 [95% CI 0·001-0·003]). Depressive symptoms also partially mediated associations between less negative support and slower decline in immediate recall (PIE 0·001 [0·000-0·002]) and in delayed recall (PIE 0·001 [0·000-0·002]), and between positive support and slower decline in immediate recall (PIE 0·001 [0·000-0·001]). We did not observe mediation by inflammatory biomarkers. Findings of mediation by depressive symptoms in the association between positive support and verbal fluency and between positive support and change in immediate recall were replicated in SNAC-K. INTERPRETATION: The findings of this study provide new insights into mechanisms linking social health with cognition, suggesting that associations between interactional aspects of social health, especially social support, and cognition are partly underpinned by depressive symptoms. FUNDING: EU Joint Programme-Neurodegenerative Disease Research (JPND) and Alzheimer's Society. TRANSLATION: For the Swedish translation of the abstract see Supplementary Materials section.

Do Health and Well-Being Change Around the Transition to Informal Caring in Early Adulthood? A Longitudinal Comparison Between the United Kingdom and Germany.

PURPOSE: Providing care in early adulthood may have long-term consequences, given the importance of this life stage for life-course transitions. This study aimed to analyze how the transition into caring during young adulthood (17-29 years old) influenced health and life satisfaction in the United Kingdom and Germany. METHODS: Datasets were from 10 annual waves of the UK Household Longitudinal Study and the German Socioeconomic Panel between the years 2009-2018. We used propensity score matching to match young adult carers (YACs) to similar noncarers to address the endogeneity of unpaid care provision. Then we applied piecewise growth curves to observe changes in self-rated health (United Kingdom N = 2,851; Germany N = 454) and life satisfaction (United Kingdom N = 2,263; Germany N = 449) between YAC and noncarers before, during, and after the onset of care. We assessed carer status, weekly hours spent on care, and duration of care. RESULTS: In the United Kingdom, life satisfaction decreased and the probability of reporting poor health increased after becoming a YAC, particularly for those who reported caring for more weekly hours. However, no such differences were found between YAC and noncarers in Germany. DISCUSSION: The onset and intensity of caring responsibilities during early adulthood influenced health and life satisfaction in the United Kingdom but not in Germany. One possible interpretation for these differences may be attributed to the different welfare contexts in which YACs are providing informal care. Our results highlight the importance of identifying and supporting the needs of young adults who are providing informal care while making key life-course transitions.

Examining the Interrelationships Between Social Isolation and Loneliness and Their Correlates Among Older British Adults Before and During the COVID-19 Lockdown: Evidence From Four British Longitudinal Studies.

Background and Objectives: Unprecedented social restrictions during the coronavirus disease 2019 (COVID-19) pandemic have provided a new lens for considering the interrelationship between social isolation and loneliness in later life. We present these interrelationships before and during the COVID-19 restrictions and investigate to what extent demographic, socioeconomic, and health factors associated with such experiences differed during the pandemic. Research Design and Methods: We used data from four British longitudinal population-based studies (1946 NSHD, 1958 NCDS, 1970 BCS, and ELSA, N = 12,129). Rates, co-occurrences, and correlates of social isolation and loneliness are presented prior to and during the early stage of the COVID-19 pandemic and the interrelationships between these experiences are elucidated in both periods. Results: Across the Four studies, prepandemic proportions reporting social isolation ranged from 15% to 54%, with higher rates in older ages (e.g., 32% of individuals aged 70-79 years and 54% of those more than 80). During the pandemic, the percentage of older people reporting both social isolation and loneliness and isolation only slightly increased. The interrelationship between social isolation and loneliness did not change. Associations between sociodemographic and health characteristics and social isolation and loneliness also remained consistent, with greater burden among those with higher economic precarity (females, nonhomeowners, unemployed, illness, and greater financial stress). Discussion and Implications: There were already large inequalities in experiences of social isolation and loneliness and the pandemic had a small impact on worsening extent and inequalities in these. The concepts of loneliness and social isolation are not interchangeable, and clarity is needed in how they are conceptualized, operationalized, and interpreted. Given many older adults experience high levels of social isolation, there should be greater emphasis on reducing social isolation and the inequalities observed in who experiences greater isolation and loneliness.

Mental and physical health changes around transitions into unpaid caregiving in the UK: a longitudinal, propensity score analysis.

BACKGROUND: The health of unpaid caregivers is poorer, on average, than in non-caregivers. There has been little focus on how health changes when becoming a caregiver and whether this varies by age, gender, and caregiving intensity. We aimed to investigate the mental and physical health changes involved with becoming a caregiver and whether these associations varied by gender, caregiving intensity, or age. METHODS: This study used data from the UK Household Longitudinal Study (2009-20) to examine mental and physical health changes around the transition to becoming a caregiver in adults aged 16 years and older. We included adults with information on care, complete covariates needed for matching, and at least one measure of health before or after becoming a caregiver (or matched non-caregiver). Health was measured via General Health Questionnaire-12 (GHQ-12, psychological distress) and 12-item Short Form Survey (SF-12, physical and mental functioning). We applied piecewise growth curve modelling with propensity score matching to model trajectories of mental and physical health for caregivers and matched non-caregivers. Analyses were stratified by age group, gender, and caregiving intensity. FINDINGS: Sample sizes varied from 3025 (GHQ-12 analyses in early adulthood) to 5785 (SF-12 analyses in early mid-adulthood). Psychological distress increased during transition to caregiving for all ages, particularly in those younger than 64 years, those providing care for 20 h or more per week, and for someone living within the household. Mental health functioning worsened during caregiving transition for those aged 30-64 years, those providing 20 h or more per week, and for those caring for someone within the household. Physical health functioning did not change but there was evidence of lower levels of functioning before caregiving. Changes in mental and physical health upon transition to caregiving did not differ by gender. INTERPRETATION: Our findings highlight the importance of early identification of and support for caregivers, including younger caregivers. This is important to break the cycle of caregiving and future care need. Health services staff, including general practitioners and hospital discharge teams, are well positioned for early identification of caregivers. We also encourage particular support for the mental health of caregivers and particularly those who become caregivers at a younger age. FUNDING: The UK Economic and Social Research Council.

Vision and Hearing Difficulties and Life Expectancy Without ADL/IADL Limitations: Evidence From the English Longitudinal Study of Ageing and the Health and Retirement Study.

BACKGROUND: Hearing and vision difficulties are some of the most common deficits experienced by older adults. Having either visual or hearing difficulties increases the risk of comorbidity, disability, and poor quality of life. So far, however, few studies have examined the association between vision and hearing difficulties on life expectancy without activities of daily living (ADL) or instrumental ADL (IADL) limitations (LEWL). METHODS: Data came from the English Longitudinal Study of Ageing and the Health and Retirement Study in the United States from 2002 to 2013. The outcome was defined as reporting 2+ limitations with ADL/IADL. Life expectancy was estimated by discrete-time multistate life table models for hearing and vision difficulties separately as well as for combined vision and hearing difficulties by sex and age. RESULTS: Thirteen percent of men in England and the United States had ADL/IADL limitations, whereas, for women, it was 16% and 19% in England and the United States. At all ages, either vision or hearing difficulty was associated with shorter LEWL compared to no difficulties. Dual sensory difficulty (vision and hearing) reduced LEWL by up to 12 years in both countries. At the ages of 50 and 60 in England, hearing difficulty was associated with fewer years lived without ADL/IADL limitations than vision difficulty. In contrast, in the United States, vision difficulty led to fewer years lived without ADL/IADL limitations than hearing difficulty. CONCLUSIONS: The implementation of strategies to reduce the prevalence and incidence of vision and hearing difficulties has the potential to increase the number of years spent without ADL/IADL limitations.

Mental health and self-rated health of older carers during the COVID-19 pandemic: evidence from England.

OBJECTIVES: Older carers play a vital role supporting population health and protecting health and social care systems, yet there has been little research on understanding the effect of the pandemic on this group. In this paper, we investigate caring as a factor contributing to mental and self-rated health. METHODS: We investigate cross-sectional and longitudinal associations between provision of family care and mental health and wellbeing using longitudinal data from 5,149 members of the English Longitudinal Study of Ageing who responded to Wave 9 (2018/2019) and two COVID-19 sub-studies (June/July 2020; November/December 2020). We use logistic or linear regression models depending on outcome measures, controlling for pre-pandemic socioeconomic, demographic, and health-related variables. RESULTS: Before the pandemic, 21% of respondents cared for family or friends. Older people caring for someone inside the household mostly continued to provide care during the pandemic, with more than a quarter reporting an increase in the amount of care provided. Co-resident carers were disproportionately female, older, in the lowest wealth quintile, and more likely to report disability and chronic conditions. Both cross-sectional and longitudinal analyses suggest that, compared to those caring for people living outside the household, co-resident carers were significantly more likely to report poorer mental health and self-rated health. CONCLUSION: The health of older carers worsened disproportionately in the first year of the pandemic, a period also characterised by disruptions to support and closure of respite services. Support for carers' mental and physical health requires greater policy attention, especially in pandemic conditions.

Does providing informal care in young adulthood impact educational attainment and employment in the UK?

Most research on the effects of caring has focused on older spouses or working-age carers providing care for older people, but providing care in early adulthood may have longer-term consequences, given the importance of this life stage for educational and employment transitions. This study aims to investigate the impact of informal care in early adulthood on educational attainment and employment in the UK and to test whether these associations differ by gender or socio-economic circumstances. Data are from young adults (age 16-29 at first interview, n = 27,209) in the UK Household Longitudinal Study wave 1 (2009/11) to wave 10 (2018/2020). Carers are those who provide informal care either inside or outside the household. We also considered six additional aspects of caring, including weekly hours spent caring, number of people cared for, relationship to care recipient, place of care, age at which caring is first observed, and duration of care. Cox regression was used to analyse the association between caring and educational qualifications and employment transitions. We found that young adult carers were less likely to obtain a university degree and enter employment compared to young adults who did not provide care. In terms of care characteristics, weekly hours spent caring were negatively associated with the likelihood of obtaining a university degree qualification and being employed. Providing care after full-time education age negatively influenced employment entry, but having a university degree buffered the negative influence of providing care on entering employment. The influence on unemployment may be stronger for female carers than for male carers. Our results highlight the importance of supporting the needs of young adults who are providing informal care while making key life course transitions.

Pre-pandemic trajectories of depressive symptomatology and their relation to depression during the COVID-19 pandemic: longitudinal study of English older people.

BACKGROUND: Although the COVID-19 pandemic has affected depression, evidence of the role of pre-pandemic history of depression remains limited. AIMS: We investigated how long-term trajectories of depressive symptomatology before the COVID-19 pandemic were related to depression during the pandemic, over and above the latest pre-pandemic depression status. Furthermore, we examined whether those experiencing depression closer to the pandemic were at higher risk during the pandemic. METHOD: Employing data from waves 4-9 of the English Longitudinal Study of Ageing (2008-2009 to 2018-2019), we used group-based trajectory modelling on 3925 English older adults aged 50+ years to identify distinctive trajectories of elevated depressive symptoms (EDS). Fully adjusted logistic models were then used to examine the associations between trajectories and depression during the COVID-19 pandemic (June-July and November-December 2020). RESULTS: We identified four classes of pre-pandemic trajectories of EDS. About 5% were classed as 'enduring EDS', 8% as 'increasing EDS', 10% as 'decreasing EDS' and 77% as 'absence of EDS'. Compared with respondents with absence of EDS, those with EDS history were more likely to have depression during the COVID-19 pandemic, particularly those with enduring or increasing EDS in the previous 10 years. Moreover, the frequency of EDS was more crucial in predicting the risks of depression during the pandemic than the timing of the latest episode. CONCLUSIONS: Trajectories of depressive symptomatology are an important risk factor for older adults' mental health, particularly in the context of crisis. Older people with enduring or increasing EDS should receive particular attention from policy makers when provisioning post-pandemic well-being support.

Changes in health behaviours during the COVID-19 pandemic and effect on weight and obesity among older people in England.

During COVID-19 lockdown, negative changes in health behaviours have been reported in European older adults. However, less is known about the consequences of these changes on weight gain and obesity, especially in older adults living in England. This study explored the association of health behaviour changes with weight and obesity in English older adults aged 50 years and older, during lockdowns in 2020. We included 4182 participants of the English Longitudinal Study of Ageing COVID-19 sub-study in June/July and Nov/Dec 2020 who also had pre-pandemic data. Perceived changes in health behaviours were regressed on weight and obesity, adjusted for pre-pandemic weight or obesity, and several covariates. Results suggested that less exercise, more sedentariness, eating more and alcohol drinking were associated with a significant increase in weight at both timepoints. Meanwhile, less sedentariness and eating less significantly reduced weight in Nov/Dec 2020. A higher risk of obesity at both timepoints was found in adults sitting, eating, or sleeping more than usual. To conclude, during UK lockdown, older people who engaged in risky health behaviours were at higher risks of weight gain and obesity both in the short run and long term. Considering potential health risks associated with obesity and disruptions in routine lifestyle in the older population even after the pandemic, improved weight management interventions are necessary nationwide.

Inequalities in associations between young adult caregiving and social relationships: Evidence from the UK Household Longitudinal Study.

INTRODUCTION: Young adult caregivers (aged 16-29 years) are an important but underrecognized group of informal caregivers. There is some evidence suggesting that young adult caregivers have fewer social relationships. However, this research has been largely cross-sectional in design or restricted to caregivers, providing no comparison with noncaregivers. Further, there is little evidence on whether and to what extent there are inequalities in associations between young adult caregiving and social relationships by gender, age, caregiving intensity, or household income. METHODS: Using five waves of data on 3-4000 young adults aged 16-29 from the UK Household Longitudinal Study, we investigated associations between becoming a young adult caregiver and subsequent social relationships (number of close friends and participation in organized social activities) in the short-term (1-2 years after caregiving initiation) and longer-term (4-5 years later). We also assessed differences by gender, age, household income, and caregiving intensity. RESULTS: Overall, those who became young adult caregivers, and particularly those providing 5+ h/week, reported fewer friends in the short- but not longer-term. No associations were observed between young adult caregiving and participation in organized social activities. Also, there was no evidence of differences by gender, age, income, or caregiving hours. CONCLUSIONS: Becoming a young adult caregiver is associated with a reduction in number of close friends, particularly in the short-term. Given the importance of practical and emotional support provided by friends, the early identification of young adult caregivers and greater population awareness of caring in young adulthood may help to mitigate the effects on social relationships.

Home working and social and mental wellbeing at different stages of the COVID-19 pandemic in the UK: Evidence from 7 longitudinal population surveys.

BACKGROUND: Home working has increased since the Coronavirus Disease 2019 (COVID-19) pandemic's onset with concerns that it may have adverse health implications. We assessed the association between home working and social and mental wellbeing among the employed population aged 16 to 66 through harmonised analyses of 7 UK longitudinal studies. METHODS AND FINDINGS: We estimated associations between home working and measures of psychological distress, low life satisfaction, poor self-rated health, low social contact, and loneliness across 3 different stages of the pandemic (T1 = April to June 2020 -first lockdown, T2 = July to October 2020 -eased restrictions, T3 = November 2020 to March 2021 -second lockdown) using modified Poisson regression and meta-analyses to pool results across studies. We successively adjusted the model for sociodemographic characteristics (e.g., age, sex), job characteristics (e.g., sector of activity, pre-pandemic home working propensities), and pre-pandemic health. Among respectively 10,367, 11,585, and 12,179 participants at T1, T2, and T3, we found higher rates of home working at T1 and T3 compared with T2, reflecting lockdown periods. Home working was not associated with psychological distress at T1 (RR = 0.92, 95% CI = 0.79 to 1.08) or T2 (RR = 0.99, 95% CI = 0.88 to 1.11), but a detrimental association was found with psychological distress at T3 (RR = 1.17, 95% CI = 1.05 to 1.30). Study limitations include the fact that pre-pandemic home working propensities were derived from external sources, no information was collected on home working dosage and possible reverse association between change in wellbeing and home working likelihood. CONCLUSIONS: No clear evidence of an association between home working and mental wellbeing was found, apart from greater risk of psychological distress during the second lockdown, but differences across subgroups (e.g., by sex or level of education) may exist. Longer term shifts to home working might not have adverse impacts on population wellbeing in the absence of pandemic restrictions but further monitoring of health inequalities is required.

COVID-19 precautionary behaviors and vaccine acceptance among older individuals: The role of close kin.

The family plays a central role in shaping health behaviors of its members through social control and support mechanisms. We investigate whether and to what extent close kin (i.e., partner and children) matter for older people in taking on precautionary behaviors (e.g., wearing a mask) and vaccination during the COVID-19 pandemic in Europe. Drawing on data from the Survey of Health, Ageing and Retirement in Europe (SHARE), we combine its Corona Surveys (June to September 2020 and June to August 2021) with pre-COVID information (October 2019 to March 2020). We find that having close kin (especially a partner) is associated with a higher probability of both adopting precautionary behaviors and accepting a COVID-19 vaccine. Results are robust to controlling for other potential drivers of precautionary behaviors and vaccine acceptance and to accounting for coresidence with kin. Our findings suggest that policymakers and practitioners may differently address kinless individuals when promoting public policy measures.

Health Behaviors and Mental Health during the COVID-19 Pandemic: Evidence from the English Longitudinal Study of Aging.

Stay-at-home and lockdown measures during the COVID-19 pandemic had an impact on health-related behaviors which in turn posed a risk to mental health, particularly among older people. In this study, we investigated how changes to health behaviors (physical activity, sleeping, eating, and drinking) impacted mental health (depression, quality of life, and life satisfaction) during and beyond the initial phase of the COVID-19 lockdown. Using data from Wave 9 (2018/19) and two COVID-19 sub-studies (June/July 2020; November/December 2020) of the English Longitudinal Study of Ageing (N = 4989), we found that health behaviors changes during lockdown were associated with poorer mental health in June/July 2020. However, in November/December 2020, higher depression, lower quality of life, and lower life satisfaction were more likely only among respondents who reported less physical activity, eating more, changes in sleep patterns, and drinking more alcohol. Public health programs should support healthy behaviors as we emerge from the pandemic.

Antibody levels following vaccination against SARS-CoV-2: associations with post-vaccination infection and risk factors in two UK longitudinal studies.

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody levels can be used to assess humoral immune responses following SARS-CoV-2 infection or vaccination, and may predict risk of future infection. Higher levels of SARS-CoV-2 anti-Spike antibodies are known to be associated with increased protection against future SARS-CoV-2 infection. However, variation in antibody levels and risk factors for lower antibody levels following each round of SARS-CoV-2 vaccination have not been explored across a wide range of socio-demographic, SARS-CoV-2 infection and vaccination, and health factors within population-based cohorts. Methods: Samples were collected from 9361 individuals from TwinsUK and ALSPAC UK population-based longitudinal studies and tested for SARS-CoV-2 antibodies. Cross-sectional sampling was undertaken jointly in April-May 2021 (TwinsUK, N=4256; ALSPAC, N=4622), and in TwinsUK only in November 2021-January 2022 (N=3575). Variation in antibody levels after first, second, and third SARS-CoV-2 vaccination with health, socio-demographic, SARS-CoV-2 infection, and SARS-CoV-2 vaccination variables were analysed. Using multivariable logistic regression models, we tested associations between antibody levels following vaccination and: (1) SARS-CoV-2 infection following vaccination(s); (2) health, socio-demographic, SARS-CoV-2 infection, and SARS-CoV-2 vaccination variables. Results: Within TwinsUK, single-vaccinated individuals with the lowest 20% of anti-Spike antibody levels at initial testing had threefold greater odds of SARS-CoV-2 infection over the next 6-9 months (OR = 2.9, 95% CI: 1.4, 6.0), compared to the top 20%. In TwinsUK and ALSPAC, individuals identified as at increased risk of COVID-19 complication through the UK 'Shielded Patient List' had consistently greater odds (two- to fourfold) of having antibody levels in the lowest 10%. Third vaccination increased absolute antibody levels for almost all individuals, and reduced relative disparities compared with earlier vaccinations. Conclusions: These findings quantify the association between antibody level and risk of subsequent infection, and support a policy of triple vaccination for the generation of protective antibodies. Funding: Antibody testing was funded by UK Health Security Agency. The National Core Studies program is funded by COVID-19 Longitudinal Health and Wellbeing - National Core Study (LHW-NCS) HMT/UKRI/MRC ([MC_PC_20030] and [MC_PC_20059]). Related funding was also provided by the NIHR 606 (CONVALESCENCE grant [COV-LT-0009]). TwinsUK is funded by the Wellcome Trust, Medical Research Council, Versus Arthritis, European Union Horizon 2020, Chronic Disease Research Foundation (CDRF), Zoe Ltd and the National Institute for Health Research (NIHR) Clinical Research Network (CRN) and Biomedical Research Centre based at Guy's and St Thomas' NHS Foundation Trust in partnership with King's College London. The UK Medical Research Council and Wellcome (Grant ref: [217065/Z/19/Z]) and the University of Bristol provide core support for ALSPAC.

Vaccination against the virus that causes COVID-19 triggers the body to produce antibodies that help fight future infections. But some people generate more antibodies after vaccination than others. People with lower levels of antibodies are more likely to get COVID-19 in the future. Identifying people with low antibody levels after COVID-19 vaccination is important. It could help decide who receives priority for future vaccination. Previous studies show that people with certain health conditions produce fewer antibodies after one or two doses of a COVID-19 vaccine. For example, people with weakened immune systems. Now that third booster doses are available, it is vital to determine if they increase antibody levels for those most at risk of severe COVID-19. Cheetham et al. show that a third booster dose of a COVID-19 vaccine boosts antibodies to high levels in 90% of individuals, including those at increased risk. In the experiments, Cheetham et al. measured antibodies against the virus that causes COVID-19 in 9,361 individuals participating in two large long-term health studies in the United Kingdom. The experiments found that UK individuals advised to shield from the virus because they were at increased risk of complications had lower levels of antibodies after one or two vaccine doses than individuals without such risk factors. This difference was also seen after a third booster dose, but overall antibody levels had large increases. People who received the Oxford/AstraZeneca vaccine as their first dose also had lower antibody levels after one or two doses than those who received the Pfizer/BioNTech vaccine first. Positively, this difference in antibody levels was no longer seen after a third booster dose. Individuals with lower antibody levels after their first dose were also more likely to have a case of COVID-19 in the following months. Antibody levels were high in most individuals after the third dose. The results may help governments and public health officials identify individuals who may need extra protection after the first two vaccine doses. They also support current policies promoting booster doses of the vaccine and may support prioritizing booster doses for those at the highest risk from COVID-19 in future vaccination campaigns.

Changes in Grandparental Childcare During the Pandemic and Mental Health: Evidence From England.

OBJECTIVES: Policies aiming at reducing rates of hospitalization and death from coronavirus disease 2019 (COVID-19) encouraged older people to reduce physical interactions. In England, until July 2021, provision of care for grandchildren was allowed only under very limited circumstances. Evidence also suggests that reduced face-to-face interactions took a toll on mental health during the pandemic. This study aims to investigate associations between changes in grandchild care provision during the first 8/9 months of the pandemic and grandparents' mental health. METHODS: Using prepandemic data from Wave 9 (2018/2019) and the second COVID-19 substudy (November/December 2020) of the English Longitudinal Study of Ageing, we first describe changes in grandchild care provision during the pandemic to then investigate, using regression models, associations between changes in grandchild care provision and mental health (depression, quality of life, life satisfaction), while controlling for prepandemic levels of the outcome variables. RESULTS: About 10% of grandparents stopped looking after grandchildren altogether during the first 9 months of the pandemic, with 22% reporting an overall decrease in the amount of grandchild care provided. Compared to grandparents who mostly maintained unchanged their grandchild care provision, those who stopped altogether and those who mostly reduced the amount of grandchild care provided were more likely to report poorer mental health, even accounting for prepandemic health. DISCUSSION: While measures to limit physical contact and shield older people were necessary to reduce the spread of COVID-19, policymakers should acknowledge potential adverse consequences for mental health among grandparents who experienced changes in their roles as grandchild caregivers.

Young Adult Carers in the UK-New Evidence from the UK Household Longitudinal Study.

Despite growing interest in young adult carers, little is known about trends in prevalence of caregiving among young adults aged 16-29. Furthermore, few studies have so far investigated demographic, health, and socioeconomic inequalities in the duration of care among young carers as well as demographic differences in caregiving characteristics. Using data from 11 waves of the nationally representative UK Household Longitudinal Study (2009-2021), we first estimated the prevalence of caregiving among 16-29 years-old adults at each wave. Results show that about 9% of those aged 16-29 provided care, and that this prevalence remained stable throughout the 2010s. Then, selecting respondents who participated for three waves of more, we assessed demographic, socioeconomic, and health characteristics associated with duration of care using ordinal regression models. Almost 52% of carers cared at two or more waves. Compared to non-carers, those who cared had more disadvantaged socioeconomic backgrounds, were from ethnic minorities and reported poorer health, particularly if they cared at two or more waves. Finally, focusing on carers, we tested differences by sex, age, and urbanicity in care relationships, intensity, and duration. Overall, women and those aged 25-29 cared for longer hours, for more people, and for more years than men and younger carers respectively. Put together, these findings provide an up-to-date description of young carers in the 2010s in the UK.

Inequalities in healthcare disruptions during the COVID-19 pandemic: evidence from 12 UK population-based longitudinal studies.

OBJECTIVES: We investigated associations between multiple sociodemographic characteristics (sex, age, occupational social class, education and ethnicity) and self-reported healthcare disruptions during the early stages of the COVID-19 pandemic. DESIGN: Coordinated analysis of prospective population surveys. SETTING: Community-dwelling participants in the UK between April 2020 and January 2021. PARTICIPANTS: Over 68 000 participants from 12 longitudinal studies. OUTCOMES: Self-reported healthcare disruption to medication access, procedures and appointments. RESULTS: Prevalence of healthcare disruption varied substantially across studies: between 6% and 32% reported any disruption, with 1%-10% experiencing disruptions in medication, 1%-17% experiencing disruption in procedures and 4%-28% experiencing disruption in clinical appointments. Females (OR 1.27; 95% CI 1.15 to 1.40; I2=54%), older persons (eg, OR 1.39; 95% CI 1.13 to 1.72; I2=77% for 65-75 years vs 45-54 years) and ethnic minorities (excluding white minorities) (OR 1.19; 95% CI 1.05 to 1.35; I2=0% vs white) were more likely to report healthcare disruptions. Those in a more disadvantaged social class were also more likely to report healthcare disruptions (eg, OR 1.17; 95% CI 1.08 to 1.27; I2=0% for manual/routine vs managerial/professional), but no clear differences were observed by education. We did not find evidence that these associations differed by shielding status. CONCLUSIONS: Healthcare disruptions during the COVID-19 pandemic could contribute to the maintenance or widening of existing health inequalities.

Is grandparental childcare socio-economically patterned? Evidence from the English longitudinal study of ageing.

Grandparents play a vital role in providing childcare to families. Qualitative research and evidence from parents raise concerns that it is grandparents who are socio-economically disadvantaged who provide grandchild care more regularly, perform more intensive tasks, and care out of financial necessity. However, no European studies have investigated these issues at population level. This study is based on grandparents aged 50+ who looked after grandchildren. Data are from wave 8 of the nationally representative English Longitudinal Study of Ageing (2016/2017). We exploit newly collected information on frequency of grandchild care, activities, and reasons for care. Using multinomial regressions, we first examined the extent to which grandparents' socio-economic characteristics (wealth and education) are associated with frequency of grandchild care. Second, using logistic regressions, we investigated whether wealth and education are associated with activities and reasons for grandchild care. Overall, grandparents from disadvantaged socio-economic backgrounds were more likely to provide more regular childcare. Similarly, grandparents in the lowest wealth quartile were more involved in hands-on activities (cooking, taking/collecting grandchildren to/from school), whereas highly educated grandparents were more likely to help grandchildren with homework. Finally, better-off grandparents were more likely to look after grandchildren to help parents and provide emotional support and less likely to report difficulty in refusing to provide care. Our findings show that grandparental childcare varies by socio-economic status with more intensive childcare activities falling disproportionately on those with fewer resources, and this may act to exacerbate existing socio-economic inequalities in later life. Supplementary Information: The online version contains supplementary material available at 10.1007/s10433-021-00675-x.

The UK Coronavirus Job Retention Scheme and smoking, alcohol consumption and vaping during the COVID-19 pandemic: evidence from eight longitudinal population surveys.

BACKGROUND: Employment disruptions can impact smoking and alcohol consumption. During the COVID-19 pandemic, many countries implemented furlough schemes to prevent job loss. We examine how furlough was associated with smoking, vaping and alcohol consumption in the UK. METHODS: Data from 27,841 participants in eight UK adult longitudinal surveys were analysed. Participants self-reported employment status and current smoking, current vaping and alcohol consumption (>4 days/week or 5+ drinks per typical occasion) both before and during the early stages of the pandemic (April-July 2020). Risk ratios were estimated within each study using modified Poisson regression, adjusting for a range of potential confounders, including pre-pandemic behaviour. Findings were synthesised using random effects meta-analysis. RESULTS: Compared to stable employment and after adjustment for pre-pandemic characteristics, furlough was not associated with smoking (ARR = 1.05; 95% CI: 0.95-1.16; I2: 10%), vaping (ARR = 0.89; 95% CI: 0.74-1.08; I2: 0%) or drinking (ARR = 1.03; 95% CI: 0.94-1.13; I2: 48%). There were similar findings for no longer being employed, and stable unemployment, though this varied by sex: stable unemployment was associated with smoking for women (ARR = 1.35; 95% CI: 1.00-1.82; I2: 47%) but not men (0.84; 95% CI: 0.67-1.05; I2: 0%). No longer being employed was associated with vaping among women (ARR = 2.74; 95% CI: 1.59-4.72; I2: 0%) but not men (ARR = 1.25; 95% CI: 0.83-1.87; I2: 0%). CONCLUSIONS: We found no clear evidence of furlough or unemployment having adverse impacts on smoking, vaping or drinking behaviours during the early stages of the COVID-19 pandemic in the UK. Differences in risk compared to those who remained employed were largely explained by pre-pandemic characteristics.

Mental and social wellbeing and the UK coronavirus job retention scheme: Evidence from nine longitudinal studies.

BACKGROUND: The COVID-19 pandemic has led to major economic disruptions. In March 2020, the UK implemented the Coronavirus Job Retention Scheme - known as furlough - to minimize the impact of job losses. We investigate associations between change in employment status and mental and social wellbeing during the early stages of the pandemic. METHODS: Data were from 25,670 respondents, aged 17-66, across nine UK longitudinal studies. Furlough and other employment changes were defined using employment status pre-pandemic and during the first lockdown (April-June 2020). Mental and social wellbeing outcomes included psychological distress, life satisfaction, self-rated health, social contact, and loneliness. Study-specific modified Poisson regression estimates, adjusting for socio-demographic characteristics and pre-pandemic mental and social wellbeing, were pooled using meta-analysis. Associations were also stratified by sex, age, education, and household composition. RESULTS: Compared to those who remained working, furloughed workers were at greater risk of psychological distress (adjusted risk ratio, ARR = 1.12; 95%CI: 0.97, 1.29), low life satisfaction (ARR = 1.14; 95%CI: 1.07, 1.22), loneliness (ARR = 1.12; 95%CI: 1.01, 1.23), and poor self-rated health (ARR = 1.26; 95%CI: 1.05, 1.50). Nevertheless, compared to furloughed workers, those who became unemployed had greater risk of psychological distress (ARR = 1.30; 95%CI: 1.12, 1.52), low life satisfaction (ARR = 1.16; 95%CI: 0.98, 1.38), and loneliness (ARR = 1.67; 95%CI: 1.08, 2.59). Effects were not uniform across all sub-groups. CONCLUSIONS: During the early stages of the pandemic, those furloughed had increased risk of poor mental and social wellbeing, but furloughed workers fared better than those who became unemployed, suggesting that furlough may have partly mitigated poorer outcomes.